Segmentation

Automatic segmentation

Using RFM analysis we group customers into groups based on purchasing behaviour.

These segments show you who spends the most, comes regularly or hasn’t been in a while.

You can create more specific marketing campaigns for each group, and offer relevent rewards based on their behaviour.

Suggestion:
Create a limited time offer to customers who “Need Attention” to reengage them

More suggestions here

Custom segments

Define your own customer segments, using our query builder

Examples:

Spend
Target Lifetime Spend Total Spend greater than 100
Or Last 12 months Recent Spend greater or equal to 500
Lower Spenders Average Spend less than 20

Order Count
Repeat Purchases Orders Count greater than 1
Recently No Orders Recent Orders Count equal to 0

Items purchased
Has purchased an item Items purchased contains Taco
Hasn’t purchased an item Items purchased contains Taco

Location
Primary location equals Auckland

Sign up date
New Sign Ups Days Since Signup less than 30

Last Purchase date
Days since last order greater than 30
Months since last order greater than 1

Loyalty Customer
Is a OneTap loyalty member Remote Account no is present true

Tags / Interests
Indicated Kids as an interestTags contains has-kids
Doesn’t have a Craft Beer interest Tags does not contains craft-beer

UTM
utm params are recorded when a customer signs up after clicking a url with utm params
Utm equals signup-campaign

Queries can have mutiple criteria, which combines multiple rules

Signed up with no orders

Signed up more than two weeks ago, but hasn’t ordered yet

Days Since Signup greater than 14 and Orders count equals 0